Triple
T14616044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengo Province |
E343087
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Dande
Dande is a town and municipality located in Angola’s Bengo Province.
|
E1110096
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dande | Statement: [Bengo Province, containsSettlement, Dande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dande Context triple: [Bengo Province, containsSettlement, Dande]
-
A.
Dandini
Dandini is the valet in Rossini’s opera "La Cenerentola" who swaps roles with his master, the prince, to comic effect.
-
B.
Dhamdaha
Dhamdaha is a town in the Purnia district of Bihar, India, known primarily as a local administrative and market center for the surrounding rural region.
-
C.
Kumbhandas
Kumbhandas was a prominent 16th-century devotional poet-saint of the Pushtimarg tradition, known for his heartfelt compositions dedicated to Lord Krishna.
-
D.
Dankuni
Dankuni is an industrial and residential town in West Bengal, India, known for its strategic location near Kolkata and its role as a transport and logistics hub.
-
E.
Dakku
Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dande Triple: [Bengo Province, containsSettlement, Dande]
Generated description
Dande is a town and municipality located in Angola’s Bengo Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dande Target entity description: Dande is a town and municipality located in Angola’s Bengo Province.
-
A.
Dandini
Dandini is the valet in Rossini’s opera "La Cenerentola" who swaps roles with his master, the prince, to comic effect.
-
B.
Dhamdaha
Dhamdaha is a town in the Purnia district of Bihar, India, known primarily as a local administrative and market center for the surrounding rural region.
-
C.
Kumbhandas
Kumbhandas was a prominent 16th-century devotional poet-saint of the Pushtimarg tradition, known for his heartfelt compositions dedicated to Lord Krishna.
-
D.
Dankuni
Dankuni is an industrial and residential town in West Bengal, India, known for its strategic location near Kolkata and its role as a transport and logistics hub.
-
E.
Dakku
Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda922f29c8190af98a8241d86f7cd |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb26b3ec481909c37e56eca8c7a82 |
completed | May 8, 2026, 9:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb34d945c8190a464c0d4e5612ceb |
completed | May 8, 2026, 9:56 a.m. |
Created at: April 10, 2026, 1:25 a.m.